GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Abstract

Abstract-Advances in computational methods and hardware platforms provide efficient processing of medical imaging data sets for surgical planning. In the case of neurosurgical interventions that are performed via a straight access path, planning entails selecting a pathway, from the scalp surface to the targeted area, that is of minimal risk to the patient. We propose a GPU-accelerated approach to enable quantitative estimation of the risk associated with a particular access path at interactive rates. It heavily exploits spatially accelerated data structures and efficient implementation of algorithms on GPUs. We evaluate the computational efficiency and scalability of the proposed approach through extensive performance comparisons, and show that interactive rates can be achieved even for high-resolution meshes. Through a user study, and feedback obtained from domain experts, we identify some of the potential benefits that our high-speed approach offers for pre-operative planning and intra-operative replanning of straight access neurosurgical interventions.

Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment

“…Trajectory planning algorithms have been developed for deep brain stimulation (DBS) electrodes [1, 2, 8, 14], biopsy needles [11, 16, 20, 23, 24], or SEEG electrodes [5, 6, 26, 27, 29]. These methods provide either: (1) assisted planning to aid manual trajectory selection [11, 16, 20]; (2) automated planning for a single trajectory planning [1, 2, 8, 10, 14, 24, 25, 29]; or (3) automated multiple trajectory planning [5, 6, 26, 27].…”

“…These methods provide either: (1) assisted planning to aid manual trajectory selection [11, 16, 20]; (2) automated planning for a single trajectory planning [1, 2, 8, 10, 14, 24, 25, 29]; or (3) automated multiple trajectory planning [5, 6, 26, 27]. …”

“…Assisted planning methods aim to reduce the time and complexity of manual trajectory selection by displaying measures of risk for potential trajectories [11, 16, 20, 22]. [16] displayed a heat map corresponding to the minimum distance to critical structures for potential entry points.…”

“…Similarly, [11] displayed an entry point safety map, safety being related to distance from critical structures. [20] reduced computation time for safety maps using graphical processing units (GPUs) to enable real-time user interaction. [22] displayed a cumulative risk, the summation of distance from critical structures along the trajectory.

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Enhanced markerless surgical robotic guidance system for keyhole neurosurgery

“…Since path algorithm typically takes account complicated anatomical geometry in 3D, calculation of the surgical path is usually computationally expensive. To reduce the computing time, acceleration procedures utilizing graphics processing unit and data preprocessing, enabling interactive selection of trajectories, have been considered (Rincon-Nigro et al, 2014) (Shamir et al, 2012). Schumann et al (2010) proposed a rapid optimization process based on segmentation masks, but this approach has been limited to the case of a point target.…”